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## Basic Concepts and Assumptions

*Patrick Dattalo*

### in Analysis of Multiple Dependent Variables

- Published in print:
- 2013
- Published Online:
- May 2013
- ISBN:
- 9780199773596
- eISBN:
- 9780199332564
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199773596.003.0001
- Subject:
- Social Work, Research and Evaluation

This chapter begins with an introduction to multivariate procedures, which allow social workers and other human services researchers to analyze multidimensional social problems and interventions in ... More

## Systems of Equations

*Luc Bauwens, Michel Lubrano, and Jean-François Richard*

### in Bayesian Inference in Dynamic Econometric Models

- Published in print:
- 2000
- Published Online:
- September 2011
- ISBN:
- 9780198773122
- eISBN:
- 9780191695315
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198773122.003.0009
- Subject:
- Economics and Finance, Econometrics

This chapter aims to review how Bayesian inference can be applied to some of the so-called systems of equations models. These models can be defined in several forms including multivariate regression ... More

## Results and Discussion

*Ulrich Frey*

### in Sustainable Governance of Natural Resources: Uncovering Success Patterns with Machine Learning

- Published in print:
- 2020
- Published Online:
- August 2021
- ISBN:
- 9780197502211
- eISBN:
- 9780197502242
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780197502211.003.0005
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Biodiversity / Conservation Biology

This chapter presents the modeling results and their interpretation. First, the synthesis of success factors from existing success factor syntheses is developed and theoretically motivated. Then, the ... More

## Choosing among Procedures for the Analysis of Multiple Dependent Variables

*Patrick Dattalo*

### in Analysis of Multiple Dependent Variables

- Published in print:
- 2013
- Published Online:
- May 2013
- ISBN:
- 9780199773596
- eISBN:
- 9780199332564
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199773596.003.0006
- Subject:
- Social Work, Research and Evaluation

This chapter summarizes similarities and differences between multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and ... More

## Filtering, smoothing and forecasting

*J. Durbin and S.J. Koopman*

### in Time Series Analysis by State Space Methods: Second Edition

- Published in print:
- 2012
- Published Online:
- December 2013
- ISBN:
- 9780199641178
- eISBN:
- 9780191774881
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199641178.003.0004
- Subject:
- Mathematics, Probability / Statistics

This chapter begins with a set of four lemmas from elementary multivariate regression which provides the essentials of the theory for the general linear state space model from both a classical and a ... More

## Methods

*Ulrich Frey*

### in Sustainable Governance of Natural Resources: Uncovering Success Patterns with Machine Learning

- Published in print:
- 2020
- Published Online:
- August 2021
- ISBN:
- 9780197502211
- eISBN:
- 9780197502242
- Item type:
- chapter

- Publisher:
- Oxford University Press
- DOI:
- 10.1093/oso/9780197502211.003.0004
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Biodiversity / Conservation Biology

The three statistical analysis methods used are presented: multivariate linear regression, random forests, and artificial neural networks. Their respective advantages and disadvantages are discussed ... More

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